diff --git a/Plot.ly/.ipynb_checkpoints/Getting_Started_Using_Plotly-checkpoint.ipynb b/Plot.ly/.ipynb_checkpoints/Getting_Started_Using_Plotly-checkpoint.ipynb
new file mode 100644
index 0000000..c7ca1e8
--- /dev/null
+++ b/Plot.ly/.ipynb_checkpoints/Getting_Started_Using_Plotly-checkpoint.ipynb
@@ -0,0 +1,236 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Getting Started with Plot.ly\n",
+ "\n",
+ "The graph(s) & code in this notebook are based on the overview/getting started guide for Plot.ly. It's a very nice plotting module for Python, with features you can't find in Matplotlib or Sympy.\n",
+ "\n",
+ "https://plot.ly/python/overview/"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "collapsed": false,
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Figure(\n",
+ " data=Data([\n",
+ " Scatter(\n",
+ " x=[1, 2, 3, 5, 6],\n",
+ " y=[1, 4.5, 7, 24, 38],\n",
+ " mode='markers'\n",
+ " ),\n",
+ " Scatter(\n",
+ " x=[1, 2, 3, 5, 6],\n",
+ " y=[1, 4, 9, 25, 36],\n",
+ " mode='lines'\n",
+ " )\n",
+ " ]),\n",
+ " layout=Layout(\n",
+ " title='Fig 0.3: Some Experiment'\n",
+ " )\n",
+ ")\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "import plotly.plotly as py\n",
+ "from plotly.graph_objs import Data, Figure, Layout, Scatter\n",
+ "from plotly.offline import download_plotlyjs, init_notebook_mode, iplot\n",
+ "\n",
+ "# Configure Plotly to work locally, rather than saving all plots \n",
+ "# remotely, in my Plot.ly account, through Plot.ly's API.\n",
+ "init_notebook_mode()\n",
+ "\n",
+ "# Make three lists of numbers\n",
+ "x = [1, 2, 3, 5, 6]\n",
+ "y1 = [1, 4.5, 7, 24, 38]\n",
+ "y2 = [1, 4, 9, 25, 36]\n",
+ "\n",
+ "# (1.1) Make a 1st Scatter object\n",
+ "trace1 = Scatter(\n",
+ " x=x, # x-coordinates of trace\n",
+ " y=y1, # y-coordinates of trace\n",
+ " mode='markers' # scatter mode (more in UG section 1)\n",
+ ")\n",
+ "\n",
+ "# (1.2) Make a 2nd Scatter object\n",
+ "trace2 = Scatter(\n",
+ " x=x, # same x-coordinates\n",
+ " y=y2, # different y-coordinates\n",
+ " mode='lines' # different scatter mode\n",
+ ") \n",
+ "\n",
+ "# (2) Make Data object \n",
+ "data = Data([trace1, trace2]) # (!) Data is list-like, must use [ ]\n",
+ "\n",
+ "# (3) Make Layout object (Layout is dict-like)\n",
+ "layout = Layout(title='Fig 0.3: Some Experiment')\n",
+ "\n",
+ "# (4) Make Figure object (Figure is dict-like)\n",
+ "fig = Figure(data=data, layout=layout) \n",
+ "\n",
+ "# Display pretty-printed dump of the Figure's data\n",
+ "print(fig.to_string())\n",
+ "\n",
+ "py.iplot(fig)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 2",
+ "language": "python",
+ "name": "python2"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 2
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython2",
+ "version": "2.7.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/Plot.ly/Getting_Started_Using_Plotly.ipynb b/Plot.ly/Getting_Started_Using_Plotly.ipynb
new file mode 100644
index 0000000..c7ca1e8
--- /dev/null
+++ b/Plot.ly/Getting_Started_Using_Plotly.ipynb
@@ -0,0 +1,236 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Getting Started with Plot.ly\n",
+ "\n",
+ "The graph(s) & code in this notebook are based on the overview/getting started guide for Plot.ly. It's a very nice plotting module for Python, with features you can't find in Matplotlib or Sympy.\n",
+ "\n",
+ "https://plot.ly/python/overview/"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "collapsed": false,
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Figure(\n",
+ " data=Data([\n",
+ " Scatter(\n",
+ " x=[1, 2, 3, 5, 6],\n",
+ " y=[1, 4.5, 7, 24, 38],\n",
+ " mode='markers'\n",
+ " ),\n",
+ " Scatter(\n",
+ " x=[1, 2, 3, 5, 6],\n",
+ " y=[1, 4, 9, 25, 36],\n",
+ " mode='lines'\n",
+ " )\n",
+ " ]),\n",
+ " layout=Layout(\n",
+ " title='Fig 0.3: Some Experiment'\n",
+ " )\n",
+ ")\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "import plotly.plotly as py\n",
+ "from plotly.graph_objs import Data, Figure, Layout, Scatter\n",
+ "from plotly.offline import download_plotlyjs, init_notebook_mode, iplot\n",
+ "\n",
+ "# Configure Plotly to work locally, rather than saving all plots \n",
+ "# remotely, in my Plot.ly account, through Plot.ly's API.\n",
+ "init_notebook_mode()\n",
+ "\n",
+ "# Make three lists of numbers\n",
+ "x = [1, 2, 3, 5, 6]\n",
+ "y1 = [1, 4.5, 7, 24, 38]\n",
+ "y2 = [1, 4, 9, 25, 36]\n",
+ "\n",
+ "# (1.1) Make a 1st Scatter object\n",
+ "trace1 = Scatter(\n",
+ " x=x, # x-coordinates of trace\n",
+ " y=y1, # y-coordinates of trace\n",
+ " mode='markers' # scatter mode (more in UG section 1)\n",
+ ")\n",
+ "\n",
+ "# (1.2) Make a 2nd Scatter object\n",
+ "trace2 = Scatter(\n",
+ " x=x, # same x-coordinates\n",
+ " y=y2, # different y-coordinates\n",
+ " mode='lines' # different scatter mode\n",
+ ") \n",
+ "\n",
+ "# (2) Make Data object \n",
+ "data = Data([trace1, trace2]) # (!) Data is list-like, must use [ ]\n",
+ "\n",
+ "# (3) Make Layout object (Layout is dict-like)\n",
+ "layout = Layout(title='Fig 0.3: Some Experiment')\n",
+ "\n",
+ "# (4) Make Figure object (Figure is dict-like)\n",
+ "fig = Figure(data=data, layout=layout) \n",
+ "\n",
+ "# Display pretty-printed dump of the Figure's data\n",
+ "print(fig.to_string())\n",
+ "\n",
+ "py.iplot(fig)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 2",
+ "language": "python",
+ "name": "python2"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 2
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython2",
+ "version": "2.7.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}